The Extended Exponential-Weibull Accelerated Failure Time Model with Application to Sudan COVID-19 Data

A fully parametric accelerated failure time (AFT) model with a flexible, novel modified exponential Weibull baseline distribution called the extended (ExEW-AFT) is proposed. The presented using multi-parameter survival regression model, where more than one distributional parameter linked to covariates. formulation, probabilistic functions, and some of its sub-models were derived. parameters introduced are estimated maximum likelihood approach. An extensive simulation study used assess estimates’ performance different scenarios based on hazard shape. proposed applied real-life right-censored COVID-19 data set from Sudan illustrate practical applicability AFT model.